code: def pyarrow_to_pandas(table):
      """
      Converts a pyarrow table to a pandas dataframe
      with Nullable dtypes.
  
      Parameters
      ----------
      table: Pyarrow Table
          Pyarrow table to be converted to pandas
  
      Returns
      -------
      DataFrame
          A Pandas dataframe with nullable dtypes.
      """
      df = pd.DataFrame()
  
      for column in table.columns:
          if column.type in pyarrow_dtypes_to_pandas_dtypes:
              df[column._name] = pd.Series(
                  column,
                  dtype=pyarrow_dtypes_to_pandas_dtypes[column.type],
              )
          elif isinstance(column.type, pa.StructType):
              df[column._name] = column.to_pandas(
                  integer_object_nulls=True
              )
          else:
              df[column._name] = column.to_pandas()
  
      return df
  
file_path: cudf/python/cudf/cudf/_fuzz_testing/utils.py
imports: import random
  import fastavro
  import numpy
  import pandas
  import pyarrow
  import cudf
  from cudf.testing._utils import assert_eq
  from cudf.utils.dtypes import pandas_dtypes_to_np_dtypes, pyarrow_dtypes_to_pandas_dtypes
label_desc: Use image node_id 3 for calling a global function with example usage: pyarrow_to_pandas(table) and returns: df